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High quality yield modeling is critical for DFM

The article shows how calibrated yield models make design tools fully yield-aware and enable appropriate design-for-manufacturability trade-offs.

undefinedJoseph Davis is senior product manager of Yield Simulation at PDF Solutions. Prior to joining PDF, he spent three years in Silicon Technology Development at Texas Instruments. He holds a PhD in electrical engineering from North Carolina State University (NCSU).

undefinedPatrick McNamara is senior product manager of analog and RF DFM at PDF Solutions. Prior to joining PDF Solutions, he worked at TRW implementing wideband comms systems. He holds an MS in electrical engineering from the University of Southern California.

Design-for-manufacturability (DFM) has become pervasive and there is general agreement on the need to apply DFM at multiple stages of the design cycle. DFM techniques at the relatively mature 0.13um technology node entail well known enhancements such as contact and via redundancy, line-ends and borders, and wire spreading. Mature technology nodes achieve product yields which, if the major systematics are already localized and addressed, are mainly random defect-limited and receive only an incremental benefit from this DFM set.

Mitigating the risk of a late product introduction at 90 and 65nm requires the knowledge that yield is now dominated by systematic yield loss (Figure 1). Process-design integration expertise and infrastructure are critical to proactively and efficiently reduce these manufacturing risks. Accurate yield modeling lies at the core of process-design integration and proactive DFM. Here, we discuss key characteristics of accurate yield modeling required to obtain maximum benefit.

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